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Answer: All of the above.
All the strategies mentioned are crucial for optimizing complex SQL queries in Redshift. Using EXPLAIN helps in understanding the execution plan, breaking down the query into subqueries can improve readability and performance, and proper sorting and distribution of tables can enhance query execution.
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You need to perform a complex SQL query to transform data in an Amazon Redshift cluster. The query involves multiple joins, aggregations, and a window function. Which of the following strategies would you use to structure the query for optimal performance?
A
Use EXPLAIN to analyze the query execution plan and optimize the query.
B
Break down the query into smaller, more manageable subqueries and use WITH clauses.
C
Ensure that the tables involved in the query are properly sorted and distributed.
D
All of the above.